The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2025/2026. For other academic years, different application codes and study periods may apply
General Courses
Mandatory courses 45 credits:
Theory of statistical inference 7,5 credits, SU
Categorical data analysis 7,5 credits, SU
Biostatistics 1 7,5 credits, KI
Survival analysis with aplications in medicine 7,5 credits, KI
Conditionally elective courses:
Statistical unsupervised learning, 7,5 credits, SU
Statistical aspects of deep learning, 7,5 credits, SU
Statistical information theory, 7,5 credits, SU
Statistical models, 7,5 credits, SU
Below you find all courses organized by KTH.
Mandatory courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
SF2940 Probability Theory | 50309 | 7.5 credits | 7.5 | |||
SF2955 Computer Intensive Methods in Mathematical Statistics | 61396 | 7.5 credits | 7.5 |
Among the conditionally elective courses 15 credits has to be studied.
Conditionally elective courses
Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
---|---|---|---|---|---|---|
SF2526 Numerical algorithms for data-intensive science | 61395 | 7.5 credits | 7.5 | |||
SF2930 Regression Analysis | 60237 | 7.5 credits | 7.5 | |||
DD2401 Neuroscience | 61428 | 7.5 credits | 7.5 | |||
DD2424 Deep Learning in Data Science | 60228 | 7.5 credits | 7.5 | |||
SF2943 Time Series Analysis | 60326 | 7.5 credits | 7.5 |